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<div id="topics">
    <div id="toolDescription" class="smallsize">
        <h2>Pikslite klassifitseerimine süvaõppe teel</h2><p/>
        <h2><img src="../images/GUID-88BE63A6-B06C-4C61-9AB1-8DA5A08C6783-web.png" alt="Pikslite klassifitseerimine s&uuml;va&otilde;ppe teel"></h2>
        <hr/>
    <p>This tool runs a trained deep learning model on an input raster to produce a classified raster, and each valid pixel has an assigned class label.
    </p>
    <p>Kui tingimus  <b>Kasuta praegust kaardi ulatust</b> on m&auml;rgitud, anal&uuml;&uuml;sitakse ainult neid rasterkihi piksleid, mis on kaardi praeguses ulatuses n&auml;htavad. Kui see ruut pole m&auml;rgitud, kasutatakse anal&uuml;&uuml;si koostamisel kogu rastrit ka siis, kui see on v&auml;ljaspool kaardi praegust ulatust.
    </p>
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    <!--Parameter divs for each param-->
    <div id="inputRaster">
        <div><h2>Pikslite klassifitseerimiseks kasutatava pildi valimine</h2></div>
        <hr/>
        <div>
            <p>Klassifitseeritav sisendpilt.
            </p>
            <p>See v&otilde;ib olla pilditeenuse URL, rastrikiht v&otilde;i pilditeenuse kiht.
            </p>
        </div>
    </div>
    <div id="model">
        <div><h2>Valige pikslite klassifitseerimisel kasutatav süvaõppemudel</h2></div>
        <hr/>
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            <p>The input deep learning package ( <code>.dlpk</code>) item.
            </p>
            <p>The deep learning package is composed of the Esri model definition JSON file ( <code>.emd</code>), the deep learning binary model file, and optionally, the Python raster function to be used.
            </p>
        </div>
    </div>
    <div id="modelArguments">
        <div><h2>Määrake süvaõppemudeli argumendid</h2></div>
        <hr/>
        <div>
            <p>The function arguments are defined in the Python raster function class referenced by the input model. This is where you list additional deep learning parameters and arguments for experiments and refinement, such as a confidence threshold for adjusting the sensitivity.
            </p>
            <p>T&ouml;&ouml;riist t&auml;idab rasteranal&uuml;&uuml;si serveris Pythoni mudeli lugemise teel argumendid nimedega.
            </p>  
            <p> 
            </p>
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    <div id="outputClassifiedRaster">
        <div><h2>Tulemkihi nimi</h2></div>
        <hr/>
        <div>
            <p>Selle kihi nimi, mis luuakse jaotises  <b>Minu sisu</b> ja lisatakse kaardile. Vaikimisi nimi p&otilde;hineb t&ouml;&ouml;riista nimel ja sisendkihi nimel. Kui kiht on juba olemas, palutakse teil sisestada m&otilde;ni muu nimi.
            </p>
            <p>You can specify the name of a folder in  <b>My Content</b> where the result will be saved using the <b>Save result in</b> drop-down box.
            </p>
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